摘要
电力系统短路故障是影响电网安全稳定运行的重要因素，深入研究短路计算与故障分析方法具有重要意义。本文旨在建立一种高效准确的短路计算与故障分析方法体系，以应对复杂电力系统中的短路问题。基于此目的，首先构建了适用于不同类型电力系统的短路电流计算模型，该模型综合考虑了系统参数变化、不同运行方式以及分布式电源接入等因素的影响，创新性地引入了自适应调整机制，使计算结果更加贴近实际。然后提出了基于智能算法的故障定位与识别方法，利用大数据挖掘技术对历史故障数据进行深度学习，实现了对故障类型的精准判断和故障点的快速定位，有效提高了故障处理效率。通过大量仿真测试验证了所提方法的有效性和准确性，在多种典型场景下均能取得良好效果。研究结果表明，所建立的方法能够显著提升电力系统短路故障分析的精度和速度，为电力系统的安全防护提供了新的思路和技术手段，对于保障电力系统的可靠运行有着重要的理论价值和实用意义。
关键词：短路故障分析；短路电流计算模型；智能算法故障定位；自适应调整机制；大数据挖掘技术
Abstract
Short-circuit faults in power systems are critical factors affecting the safe and stable operation of the grid, and in-depth research on short-circuit calculations and fault analysis methods is of significant importance. This paper aims to establish an efficient and accurate system for short-circuit calculation and fault analysis to address short-circuit issues in complex power systems. To achieve this ob jective, a short-circuit current calculation model suitable for different types of power systems has been developed. This model comprehensively considers the impact of variations in system parameters, different operating modes, and the integration of distributed generation, innovatively incorporating an adaptive adjustment mechanism to make the calculation results more closely aligned with reality. Subsequently, a fault location and identification method based on intelligent algorithms has been proposed, utilizing big data mining techniques to perform deep learning on historical fault data, thereby achieving precise classification of fault types and rapid localization of fault points, effectively enhancing the efficiency of fault handling. Extensive simulation tests have validated the effectiveness and accuracy of the proposed methods, yielding favorable results across various typical scenarios. The research findings indicate that the established methods can significantly improve the precision and speed of short-circuit fault analysis in power systems, providing new ideas and technical means for the safety protection of power systems, which holds important theoretical value and practical significance for ensuring the reliable operation of power systems.
Keywords：Short Circuit Fault Analysis; Short Circuit Current Calculation Model; Intelligent Algorithm Fault Location; Adaptive Adjustment Mechanism; Big Data Mining Technology
目 录
摘要 I
Abstract II
一、绪论 1
(一) 电力系统短路计算的研究背景 1
(二) 研究现状与挑战分析 1
(三) 本文研究方法概述 2
二、短路电流计算理论基础 2
(一) 短路电流基本概念 2
(二) 对称分量法的应用 3
(三) 暂态稳定分析方法 4
三、故障分析技术研究 4
(一) 故障类型及特征 5
(二) 故障定位方法探讨 5
(三) 故障保护策略分析 6
四、短路计算与故障分析应用 6
(一) 实际案例分析 6
(二) 计算工具与软件 7
(三) 结果验证与评估 8
结 论 9
参考文献 10
电力系统短路故障是影响电网安全稳定运行的重要因素，深入研究短路计算与故障分析方法具有重要意义。本文旨在建立一种高效准确的短路计算与故障分析方法体系，以应对复杂电力系统中的短路问题。基于此目的，首先构建了适用于不同类型电力系统的短路电流计算模型，该模型综合考虑了系统参数变化、不同运行方式以及分布式电源接入等因素的影响，创新性地引入了自适应调整机制，使计算结果更加贴近实际。然后提出了基于智能算法的故障定位与识别方法，利用大数据挖掘技术对历史故障数据进行深度学习，实现了对故障类型的精准判断和故障点的快速定位，有效提高了故障处理效率。通过大量仿真测试验证了所提方法的有效性和准确性，在多种典型场景下均能取得良好效果。研究结果表明，所建立的方法能够显著提升电力系统短路故障分析的精度和速度，为电力系统的安全防护提供了新的思路和技术手段，对于保障电力系统的可靠运行有着重要的理论价值和实用意义。
关键词：短路故障分析；短路电流计算模型；智能算法故障定位；自适应调整机制；大数据挖掘技术
Abstract
Short-circuit faults in power systems are critical factors affecting the safe and stable operation of the grid, and in-depth research on short-circuit calculations and fault analysis methods is of significant importance. This paper aims to establish an efficient and accurate system for short-circuit calculation and fault analysis to address short-circuit issues in complex power systems. To achieve this ob jective, a short-circuit current calculation model suitable for different types of power systems has been developed. This model comprehensively considers the impact of variations in system parameters, different operating modes, and the integration of distributed generation, innovatively incorporating an adaptive adjustment mechanism to make the calculation results more closely aligned with reality. Subsequently, a fault location and identification method based on intelligent algorithms has been proposed, utilizing big data mining techniques to perform deep learning on historical fault data, thereby achieving precise classification of fault types and rapid localization of fault points, effectively enhancing the efficiency of fault handling. Extensive simulation tests have validated the effectiveness and accuracy of the proposed methods, yielding favorable results across various typical scenarios. The research findings indicate that the established methods can significantly improve the precision and speed of short-circuit fault analysis in power systems, providing new ideas and technical means for the safety protection of power systems, which holds important theoretical value and practical significance for ensuring the reliable operation of power systems.
Keywords：Short Circuit Fault Analysis; Short Circuit Current Calculation Model; Intelligent Algorithm Fault Location; Adaptive Adjustment Mechanism; Big Data Mining Technology
目 录
摘要 I
Abstract II
一、绪论 1
(一) 电力系统短路计算的研究背景 1
(二) 研究现状与挑战分析 1
(三) 本文研究方法概述 2
二、短路电流计算理论基础 2
(一) 短路电流基本概念 2
(二) 对称分量法的应用 3
(三) 暂态稳定分析方法 4
三、故障分析技术研究 4
(一) 故障类型及特征 5
(二) 故障定位方法探讨 5
(三) 故障保护策略分析 6
四、短路计算与故障分析应用 6
(一) 实际案例分析 6
(二) 计算工具与软件 7
(三) 结果验证与评估 8
结 论 9
参考文献 10
